Irina Nalis

According to our database, Irina Nalis authored at least 7 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Bridging Preferences: Multi-Stakeholder Insights on Ideal News Recommendations.

Thomas Elmar Kolb, Irina Nalis, Julia Neidhardt

Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization, 2025

Context over Categories: Implementing the Theory of Constructed Emotion with LLM-Guided User Analysis.

Nils Klüwer, Irina Nalis, Julia Neidhardt

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025

2024

Navigating Serendipity - An Experimental User Study On The Interplay of Trust and Serendipity In Recommender Systems.

Irina Nalis, Tobias Sippl, Thomas Elmar Kolb, Julia Neidhardt

Proceedings of the Adjunct Proceedings of the 32nd ACM Conference on User Modeling, 2024

2023

Not Facial Expression, nor Fingerprint - Acknowledging Complexity and Context in Emotion Research for Human-Centered Personalization and Adaptation.

Irina Nalis, Julia Neidhardt

Proceedings of the Adjunct Proceedings of the 31st ACM Conference on User Modeling, 2023

Value-Based Nudging in News Recommender Systems - Results From an Experimental User Study.

Laura Modre, Julia Neidhardt, Irina Nalis

Proceedings of the First Workshop on the Normative Design and Evaluation of Recommender Systems (NORMalize 2023) co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

Like a Skilled DJ - an Expert Study on News Recommendations Beyond Accuracy.

Thomas E. Kolb, Irina Nalis, Julia Neidhardt

Proceedings of the International Workshop on News Recommendation and Analytics co-located with the 2023 ACM Conference on Recommender Systems (RecSys 2023), 2023

2022

The Role of Bias in News Recommendation in the Perception of the Covid-19 Pandemic.

Thomas Elmar Kolb, Irina Nalis, Mete Sertkan, Julia Neidhardt

CoRR, 2022